Use cases
Where a typed decision is more useful than generated text.
Jev is designed for decision-shaped tasks inside software. These examples focus on places where your application already knows the possible actions and needs a fast, probabilistic judgment.
Support ticket routing
Use a choice question to send incoming tickets to billing, technical, account, or another predefined queue.
AI agent guardrails
Evaluate a proposed tool action before execution and route it to allow, review, or block.
Release risk scoring
Turn deployment context into an ordered score that downstream code can use for escalation thresholds.
Churn signal detection
Use a noul question when the useful output is a calibrated yes/no probability rather than a category label.
Lead prioritization
Score concrete buying signals without asking a text model to generate and then parse a narrative answer.
Jev works best when the surrounding software defines the available outputs and uses the returned probabilities or confidence to decide what to do next. It is not a replacement for open-ended text generation.